Unilateral baseball pitching: morphological and functional adaptations in the neck muscles by Leila Rahnama, Ceren Acik, Christine Dy, Stefan Keslacy

“…Sports with repetitive unilateral movements such as baseball pitching can lead to adaptations in shoulder and scapular muscles. …”
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Development of an Injury Burden Prediction Model in Professional Baseball Pitchers by Garrett Bullock, Charles Thigpen, Gary Collins, Nigel Arden, Thomas Noonan, Michael Kissenberth, Ellen Shanley

“…# Background Baseball injuries are a significant problem and have increased in incidence over the last decade. …”
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Reliability of an Observational Biomechanical Analysis Tool in Adolescent Baseball Pitchers by Steven F DeFroda, Dai Sugimoto, Steven J Staffa, Donald S Bae, Ellen Shanley, Charles A Thigpen, Peter K Kriz

“… # Methods Adolescent baseball pitchers underwent analysis using 2D video in indoor settings. …”
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Machine Learning Does Not Improve Humeral Torsion Prediction Compared to Regression in Baseball Pitchers by Garrett S Bullock, Charles A Thigpen, Gary S Collins, Nigel K Arden, Thomas K Noonan, Michael J Kissenberth, Ellen Shanley

“…Currently there are no cheap and easy to use clinical tools to measure humeral torsion, inhibiting clinical assessment. Models with low error and "good" calibration slope may be helpful for prediction…”
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Normalized Isometric Shoulder Strength as a Predictor of Ball Velocity in Youth Baseball Players by Amanda J Arnold, Charles A Thigpen, Paul F Beattie, Stacy L Fritz, Michael J Kissenberth, John M Tokish, Ellen Shanley

“…# BACKGROUND Despite increased awareness of factors related to athletic performance and injury prevention, youth and adolescent baseball players continue to report injuries at alarming rates. …”
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The Reliability and Validity of a Novel Clinical Test for Assessing Shoulder Rotation ROM in Collegiate Baseball Players: Functional Assessment of System Tension of the Shoulder (F... by Steven Dischiavi, Jesse Perry, Connor Burk, Jeremy Chiang, Chris Bleakley

“…Intra-class correlation coefficient (ICC), standard error of measurement (SEM) and minimum detectable change (MDC) were calculated. …”
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Sport-Specific AMCaMP: New Modular Tools for Measuring Adolescent Self-Confidence In Sport-Specific Movement by Keith H. May, William C. Espinoza, Andrew A. Guccione

“…Additional analyses to determine coefficient alpha (range=0.8-0.976), Standard Error of Measurement (range=1.12-2.33), and Minimum Detectable Change (range=3.1-6.47) confirmed the reliability of each of these modules…”
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